# Circuit Validation Engineer(NCG)

**Company**: NVIDIA
**Location**: Shanghai, China
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Circuit-Validation-Engineer---New-College-Graduate-2027_JR2029067?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/circuit-validation-engineer-ncg-d70d3ecf-ca5/

## Description

We are seeking a Circuit Validation Engineer(NCG) to join our Silicon Co-Design Group (SCG) team at NVIDIA. As a Circuit Validation Engineer, you will play a critical role in defining and validating circuit methodologies across GPUs and SoCs, ensuring they meet our high-quality standards.

**Job Summary:** You will be responsible for standing up silicon co-design prototypes and measurement setups, planning and executing design of experiments (DOE), building Python pipelines and analyses, and partnering with cross-functional teams to add debug hooks and iterate on prototypes.

**Key Responsibilities:**

- Standing up silicon co-design prototypes and measurement setups to expose power-rail noise, circuit enablement and tuning, performance, and volume behavior.

- Planning and executing design of experiments (DOE) to analyze main effects and interactions.

- Building Python pipelines and analyses to turn prototype, DOE, simulation, and characterization data into traces, summaries, and inputs for firmware tuning, product specs, and manufacturing limits.

- Partnering with architecture, design, validation, and firmware teams to add debug hooks, iterate on prototypes, and document findings.

- Using secure, traceable, validated AI-assisted workflows for experiment planning, analysis, and documentation.

**Requirements:**

- MS in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

- Background in a related silicon, validation, characterization, productization (SoC, GPU, CPU, or similar).

- Working knowledge of silicon circuit/clock/power/noise concepts, such as DVFS, Vmin/Fmax, shmoo, PDN/noise, Driver, or margins.

- Hands-on experience with lab or post-silicon bring-up, experiment or characterization campaigns, or manufacturing test/limits that consume chip data.

- Proficiency in Python (or similar) for data analysis, automation, and validation; comfort with Git and structured test/regression.

- Ability to turn an ambiguous silicon question into a measurable experiment, communicate clearly across teams, and write notes others can execute from.

- Strong AI-enabled skills and thinking.

**Nice to Have:**

- Experience running a test-chip, prototype vehicle, or characterization DOE.

- Direct experience on GPU/SoC/CPU circuits, power, performance, PDN/noise, or sim-to-silicon correlation.

- Shipped an internal tool, dashboard, or data pipeline (Python, databases, web apps) that other people use.

- Hands-on experience with large language models (LLMs) in an engineering workflow.

- Exposure to firmware/BIOS parameters, eFuse/limits, or ATE/SLT screening, and how they connect to product SKUs.

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## Skills

### Required
- Electrical Engineering
- Computer Engineering
- Computer Science
- Python
- Git
- SQL
- AI

### Nice to have
- GPU
- SoC
- CPU
- circuits
- power
- performance
- PDN/noise
- sim-to-silicon correlation
- firmware/BIOS parameters
- eFuse/limits
- ATE/SLT screening

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Circuit-Validation-Engineer---New-College-Graduate-2027_JR2029067?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)